Optimization Algorithms for Multi-Criteria Decision-Making
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (15 February 2023) | Viewed by 2080
Special Issue Editors
Interests: optimization; ML/DL; swarm intelligence; artificial intelligence techniques; computational intelligence; engineering optimization; multi-objective optimization
Special Issues, Collections and Topics in MDPI journals
Interests: multi-criteria decision making; multi-objective optimization; evolutionary algorithms; machine learning; artificial intelligence; rough sets; neutrosophic sets
Special Issue Information
Dear Colleagues,
Multi-criteria decision making (MCDM) techniques have been successfully applied to complex decision-making problems in economics, finance, logistics, environmental restoration, health, and industrial organization. MCDM is a methodical, quantitative way to handle situations involving multiple choices and competing criteria. Many analytical approaches have been used to assess trade-offs; consider multiple scientific, political, economic, ecological, and social factors; and decrease any conflicts in an optimum framework. MCDM is becoming increasingly common for academics in various big data application sectors to uncover unique ways to create decision-support systems that incorporate numerous criteria with the integration of machine learning and artificial intelligence (ML/AI). MCDM approaches are considered established methods to aid decision-makers in choosing suitable judgments, and their applications are rising in popularity in many industries, including company management, logistics, supply chains, energy, urban planning, waste management, etc. MCDM methods are used in many engineering applications to determine or choose the best alternative from a collection of options. The aim of this Special Issue is to propose and develop computational-intelligence-based algorithms and/or machine learning and artificial-intelligence-based methods to solve problems that involve multiple criteria and alternatives and may involve many decision makers.
Dr. Mohamed Abdel-Basset
Dr. Karam Sallam
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence in MCDM
- evolutionary computation in MCDM
- soft computing in MCDM
- machine learning
- deep learning
- swarm intelligence
- evolutionary algorithms
- metaheuristic algorithms
- heuristic algorithms
- fuzzy sets
- neutrosophic sets
- rough sets
- computational intelligence
- optimization
- multi-objective optimization
- intelligent decision making
- complex decision problems
- interactive decision-making
- multi-objective decision-making techniques and applications
- multi-criteria decision-making approaches
- dynamic multiple-criteria decision making
- explainable decision support systems
- multi-objective mathematical programming
- risk analysis/modelling, sensitivity/robustness analysis
- scheduling and routing problems
- multi-objective game theory
- waste management
- project management
- supply chain
- environmental sustainability
- mathematical modeling
- sustainable development
- goal programming
- forecasting
- medical image analysis
- MCDM in health and medicine
- MCDM methods for complex production systems under uncertainty
- MCDM methods for real-world problems
- innovative applied research in relevant fields
